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Analysis of Road Network Deformation and Sinkhole Hazards with Sentinel-1 Sar Data: A Case Study of Longgang District in Shenzhen, China | IEEE Conference Publication | IEEE Xplore

Analysis of Road Network Deformation and Sinkhole Hazards with Sentinel-1 Sar Data: A Case Study of Longgang District in Shenzhen, China


Abstract:

Analyzing road network subsidence and sinkholes is crucial for ensuring urban traffic and people's safety. InSAR technique is a non-contact measurement technique with hig...Show More

Abstract:

Analyzing road network subsidence and sinkholes is crucial for ensuring urban traffic and people's safety. InSAR technique is a non-contact measurement technique with high spatiotemporal resolution, wide monitoring range, and unaffected by road conditions, which is of great significance for the analysis of deformation hazards of man-made linear infrastructures, such as road networks and high-speed railways. In this study, we adopt 44 Sentinel-1A images from January 2022 to July 2023 to study the deformation of the road network in Longgang District, Shenzhen, China based on PS-InSAR. The road deformation is further analyzed associated with sinkhole information from field investigation. The results show that the deformation rate of the road network is between -38.3 mm/year and 16.9 mm/year, and the correlation coefficient between the top burial depth of the sinkholes and the maximum deformation rate is 0.58.
Date of Conference: 07-12 July 2024
Date Added to IEEE Xplore: 05 September 2024
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Conference Location: Athens, Greece

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